{"id":"W7154154416","doi":"10.1145/3772318.3808990","title":"10.1145/3772318.3808990","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Art, Technology, and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Gesture; Affect (linguistics); Component (thermodynamics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001900975,0.003360671,0.002427972,0.002757019,0.003072712,0.005834905,0.003261118,0.005779351,0.9557513],"category_scores_gemma":[0.003678537,0.002114068,0.001416591,0.008696939,0.001618104,0.0127424,0.007018814,0.002744781,0.9738095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002644327,"about_ca_system_score_gemma":0.001214155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01628566,"about_ca_topic_score_gemma":0.01407275,"domain_scores_codex":[0.9992533,0.00004924182,0.00006925136,0.0002139057,0.0002367007,0.0001776411],"domain_scores_gemma":[0.9981741,0.0003732722,0.00008018342,0.0005788924,0.0004110987,0.0003824666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002439935,0.000170625,0.0004931226,0.0006415123,0.00003777048,0.0002327363,0.0001265591,0.0004377428,0.001139521,0.007026926,0.7011524,0.2882971],"study_design_scores_gemma":[0.00003146217,0.00002648638,0.0007558295,0.0002495017,0.00003578784,0.000134775,0.0001017401,0.0005184811,0.0003925583,0.001371009,0.9963478,0.00003444192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001618212,0.004158358,0.008797418,0.001176915,0.002250062,0.0003602482,0.01032,0.01562543,0.9556934],"genre_scores_gemma":[0.002824838,0.002030519,0.001430255,0.0006045458,0.0001434471,0.0001833809,0.005561317,0.002006173,0.9852155],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0442487,"threshold_uncertainty_score":0.0631153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050337647698838,"score_gpt":0.1727733798667248,"score_spread":0.1622700033897364,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}